Active contours with normally generalized gradient vector flow external force  

作　　者：赵恒博 刘利雄 张麒 姚宇华 刘宝 

机构地区：[1]Beijing Key Laboratory of Intelligent Information Technology,School of Computer Science and Technology,Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》2012年第2期240-245,共6页北京理工大学学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(60805004);the State Key Lab of Space Medicine Fundamen-tals and Application(SMFA09A16)

摘　　要：Gradient vector flow （GVF） is an effective external force for active contours, but its iso- tropic nature handicaps its performance. The recently proposed gradient vector flow in the normal direction （NGVF） is anisotropic since it only keeps the diffusion along the normal direction of the isophotes; however, it has difficulties forcing a snake into long, thin boundary indentations. In this paper, a novel external force for active contours called normally generalized gradient vector flow （NGGVF） is proposed, which generalizes the NGVF formulation to include two spatially varying weighting functions. Consequently, the proposed NGGVF snake is anisotropic and would improve ac- tive contour convergence into long, thin boundary indentations while maintaining other desirable properties of the NGVF snake, such as enlarged capture range, initialization insensitivity and good convergence at concavities. The advantages on synthetic and real images are demonstrated.Gradient vector flow （GVF） is an effective external force for active contours, but its iso- tropic nature handicaps its performance. The recently proposed gradient vector flow in the normal direction （NGVF） is anisotropic since it only keeps the diffusion along the normal direction of the isophotes; however, it has difficulties forcing a snake into long, thin boundary indentations. In this paper, a novel external force for active contours called normally generalized gradient vector flow （NGGVF） is proposed, which generalizes the NGVF formulation to include two spatially varying weighting functions. Consequently, the proposed NGGVF snake is anisotropic and would improve ac- tive contour convergence into long, thin boundary indentations while maintaining other desirable properties of the NGVF snake, such as enlarged capture range, initialization insensitivity and good convergence at concavities. The advantages on synthetic and real images are demonstrated.

关 键 词：gradient vector flow active contour normal gradient vector flow normally generalizedgradient vector flow 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]